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Average Ratings 0 Ratings
Description
Weka comprises a suite of machine learning algorithms designed for various data mining activities. This platform offers functionalities for tasks such as data preparation, classification, regression, clustering, association rule mining, and data visualization. Interestingly, Weka is also the name of a flightless bird native to New Zealand, known for its curious disposition. The pronunciation of the name and the sounds made by the bird can be found online. As an open-source software, Weka is available under the GNU General Public License. We have created several complimentary online courses aimed at teaching machine learning and data mining through Weka, with video resources accessible on YouTube. The emergence and implementation of machine learning techniques represent a groundbreaking advancement in the realm of computer science. These techniques empower computer programs to systematically analyze extensive datasets and discern the most pertinent information. Consequently, this distilled knowledge can facilitate automated predictions and accelerate decision-making processes for individuals and organizations alike. This intersection of nature and technology showcases the fascinating ways in which we draw inspiration from the world around us.
Description
The XLMiner® Platform has been rebranded as Analytic Solver® Data Mining, which serves as an intuitive and high-capacity solution for data visualization, forecasting, and mining within Excel. This tool allows users to delve into their data, visualizing and transforming it while utilizing both traditional statistical techniques and advanced data mining methods, including classification and regression trees as well as neural networks, alongside popular forecasting time series methods. It has the capability to sample data from nearly any database, such as Microsoft’s Power Pivot, which can manage over 100 million rows, while also offering features to clean, transform, and partition data into training, validation, and test datasets. The performance and capacity of this tool competes with that of high-end enterprise data mining software that often comes with a price tag tenfold higher. In addition to the recent upgrades to the features and performance of the platform, users benefit from extra offerings with Analytic Solver Data Mining, which includes complimentary access to its cloud version and no-cost usage of optimization and simulation tools. As a result, this platform not only enhances data analysis efficiency but also provides significant value for users looking to leverage advanced analytics.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS Marketplace
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$2495 one-time payment
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
University of Waikato
Country
New Zealand
Website
www.cs.waikato.ac.nz/ml/weka/
Vendor Details
Company Name
Frontline Systems
Website
www.solver.com/xlminer%C2%AE-platform
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
Yes
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
Yes
Statistical / Mathematical Tools
No
Templates
No
Visualization
Yes
Product Features
Sales Forecasting
Competitor Analysis
No
Correlation Analysis
No
Dashboard
No
Dynamic Modeling
No
Exception Reporting
No
Graphical Data Presentation
Yes
Modeling & Simulation
No
Performance Metrics
No
Sales Trend Analysis
Yes
Statistical Analysis
Yes